Research on gain scheduling

By W. Rugh, Jeff S. Shamma. at - Automatisierungstechnik, 2000

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Evolving Modular Fast-Weight Networks for Control (2005, background): “Methods such as gainscheduling provide powerful tools to control such systems [1]: first a linear model is built for each operating mode, and then a linear controller (e.”
Development of linear-parameter-varying models for aircraft (2004, methodology): “Other modeling approaches invol ve the use of Linear Fractional Transformations (LFT), velocity-based approaches or different types of linearizations (higher order, off-equilibriums, : : : ), see references [13, 14, 16].”
Trajectory-Tracking and Path-Following of Underactuated Autonomous Vehicles With Parametric Modeling Uncertainty (2007, methodology): “Alternative approaches include the linearization of the vehicle error dynamics around trajectories that lead to a time-invariant linear system (also known as trimming trajectories) combined with gain scheduling and/or Linear Parameter Varying (LPV) design methodologies [5]–[ 7 ].”
Gain‐scheduling MPC of nonlinear systems (2003, methodology): “Then, as customary in gain-scheduling control design [13, 14 ], we impose the rate constraint |x1(t + 1) i x1(t)| · ±, (5)”